Research on Large Scale Text Categorization Based on Support Vector Machine

According to the shortages of Support vector machine in occupying much memory and slowly training speed,this paper summarizes four sorts of strategy:divide-and-conquer,reduced sets,incremental learning,parallel algorithm,These strategy are based on two methods:combining other algorithms and changing the SVM algorithm structure to improve the SVM training speed.